Backend Engineer

• Establish and maintain active monitoring of ANSI X12 277CA claim acknowledgment transactions to confirm payers have received submitted claims
• Implement a tracking and escalation process for claims that have not received 277CA acknowledgment within defined payer-specific windows
• Partner with the Front End Revenue Cycle Manager and Engineering to ensure clean claim submission and minimize rejection rates at the clearinghouse level
• Maintain working knowledge of clearinghouse workflows and claim status tracking capabilities
• Own the Athena Health AR aging report — ensuring it accurately reflects payment status and is actively worked on a defined cadence
• Establish AR follow-up workflows by payer and aging bucket, with defined SLAs and escalation paths for each tier
• Drive systematic reduction of the over-180-day AR balance through targeted payer follow-up, appeals, and collections activity
• Coordinate with Finance and the Manager/Director of Operational Effectiveness to ensure AR balances in Athena are accurately reflected in Zuora and NetSuite through a defined reconciliation process
• Identify and escalate AR balances where the insurance collection path has been exhausted and the employer guarantee of payment clause may apply
• Build and manage a structured denial work queue in Athena Health with assigned ownership, defined SLAs, and a clear resubmission process for each denial reason code
• Analyze denial trends by payer, reason code, and service line to identify root causes and implement upstream controls to prevent recurrence
• Prioritize denial resolution based on dollar value and timely filing window expiration — ensuring high-value, near-deadline denials are worked first
• Establish appeals workflows for payer-specific appeal processes, including supporting documentation requirements and submission timelines
• Monitor denial overturn rates by payer and reason code, and use outcomes data to refine appeal strategies
• Partner with the Front End Revenue Cycle Manager to address eligibility-driven denials at the root — denials reflecting coverage terminations that should have been caught upstream
• Manage the collections process for both claims-billed payer populations
• Establish payer-specific follow-up protocols including call queues, correspondence templates, and escalation timelines
• Coordinate with Client Success on employer group collections, including communication protocols and escalation to the employer guarantee of payment process when appropriate
• Monitor and report on cash collection rates by payer against contracted PMPM rates, identifying and investigating variances
• Recruit, onboard, and develop back-end RCM staff including AR follow-up specialists, denial management analysts, and collectors
• Establish competency requirements, training programs, and performance expectations for all back-end positions — with particular emphasis on experienced denial management and collections hires
• Conduct regular AR review sessions with staff to ensure accounts are being worked effectively and escalations are appropriate
• Build a culture of accountability, data-driven decision making, and continuous improvement within the back-end team

Senior Manager, Back End Revenue Cycle

• Web application development using PHP, Laravel, JavaScript, Docker and SQL/NoSQL databases
• Handle large datasets (millions of rows) and turn them into meaningful visualizations
• Develop frontends using HTML, CSS, Bootstrap, React.js, and ensure 508 accessibility standards
• Implement RESTful APIs and microservices using PHP and Go
• Maintain secure, object-oriented, and modular code following OWASP best practices
• Manage version control with Git and set up CI/CD pipelines using GitLab
• Deploy and manage apps in AWS and Docker environments
• Optimize relational databases (PostgreSQL) and other data stores
• Collaborate with agile teams and communicate effectively with stakeholders
• Collaborate with software engineers and data scientists to operationalize AI and analytics solutions

PHP/Go Software Engineer

• Writing secure, correct, efficient, clear and supportable “production ready” code that meets internal standards and industry best practice.
• Enhance and extend our existing products, including device management, microservices, and WPF (Windows Presentation Foundation) applications to deliver seamless experiences to our customers.
• Design and build APIs that integrate with internal and external services and contribute to overall system functionality.
• Clarifying and communicating engineering requirements for new products, features, quality improvements, or design changes.
• Track progress, update stakeholders, communicate with peers and broader team through stand-ups, regular updates on work items.
• Implement industry-standard security practices to safeguard both customer and internal data.
• Ensure thorough testing of code, participate in code reviews, and proactively resolve bugs and performance bottlenecks.

Software Engineer, Backend

• Lead the design and implementation of scalable data platforms and pipelines using PySpark, Spark, and Python
• Drive adoption and best practices for Palantir Foundry (data pipelines, ontology, workflows, and operational applications)
• Architect and optimize high-performance data processing solutions for large-scale datasets
• Provide technical leadership and mentorship to data engineers, ensuring code quality and best practices
• Collaborate with cross-functional teams (business, analytics, data science) to translate requirements into scalable solutions
• Design robust data models, ETL/ELT frameworks, and data integration strategies
• Ensure data quality, governance, security, and compliance across enterprise data platforms
• Lead performance tuning, troubleshooting, and optimization of data pipelines
• Drive CI/CD implementation, code reviews, and release management
• Stay current with emerging data engineering technologies and recommend improvements

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Senior Manager, Back End Revenue Cycle

PHP/Go Software Engineer

Software Engineer, Backend

Data Engineer, Palantir, Spark, PySpark, Python